Assessing Knowledge Construction in On-Line Learning Communities.

Autor/inn/en	Derry, Sharon J.; DuRussel, Lori Adams
Titel	Assessing Knowledge Construction in On-Line Learning Communities.
Quelle	(2000), (9 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Beigaben	Tabellen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Tagungsbericht; Leitfaden; Unterricht; Lehrer; Cognitive Structures; Concept Formation; Constructivism (Learning); Distance Education; Evaluation; Higher Education; Internet; Learning Experience; Professional Development; Technology Education + Suchen Sie Ihr Suchwort? Lesson concept; Instruction; Unterrichtsentwurf; Unterrichtsprozess; Teacher; Teachers; Lehrerin; Lehrende; Cognitive structure; Kognitive Struktur; Concept learning; Begriffsbildung; Distance study; Distance learning; Fernunterricht; Evaluierung; Hochschulbildung; Hochschulsystem; Hochschulwesen; Lernerfahrung; Technisch-naturwissenschaftlicher Unterricht
Abstract	The Teacher Professional Development Institute employs Internet technology to support distributed professional learning communities. The Secondary Teacher Education Program (STEP) at the University of Wisconsin-Madison will soon employ a similar model in its program. Work and learning within STEP evolves around instructional design teams comprising pre-service teachers and various advisors. Because much of this work is project-based rather than curriculum driven, traditional assessment is not appropriate. Our approach involves taking advantage of the online environment's ability to collect data on collaborative process. To help determine standards of evidence appropriate for judging groups as knowledge-construction entities, we articulated a theoretical framework based on four accepted views of social knowledge construction. Assessment was conceptualized as abductive inference, case identification given particular theories and relevant evidence pertaining to them. The theories predict indicators that can be represented as nodes linked by subjective probabilities within a Bayesian network. Observable features of online interactions provide input to the Net. Outputs are probability distributions indicating the degree to which a group meets normative standards described by theory. The network can produce general assessment and diagnostic profiles for groups and subgroups within large communities. (Author/SAH)
Anmerkungen	For full text: http://www.wcer.wisc.edu/step/documents/ola1/ola1.html.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2004/1/01